The Meta Co-production of Community Outcomes: Towards a Citizens’ Capabilities Approach

This article contributes to the growing amount of literature on co-production, focusing on co-production of public outcomes and taking the perspective of local government and public managers. A model for explaining the dynamics of outcomes’ creation at the community level is provided. The core argument of the article is that community outcomes result from a sum of peer production, co-production and inter-organizational collaboration processes promoted and activated at individual, organizational and network level across the public, third and private sectors. Institutional, managerial and organizational implications are discussed. The article argues that local government and public managers are asked to play new roles and to employ a new ethos grounded in a citizens capabilities’ approach.     

Recursive Equilibrium in Stochastic Overlapping‐Generations Economies

We prove the generic existence of a recursive equilibrium for overlapping‐generations economies with uncertainty. “Generic” here means in a residual set of utilities and endowments. The result holds provided there is a sufficient number of potentially different individuals within each cohort.     

Making Boards Effective: An Empirical Examination of Board Task Performance

Despite the increasing attention of management scholars to boards of directors, there is still scant evidence on the antecedents of board task performance. The lack of significant results seems to be due to some theoretical and methodological choices followed by scholars, i.e. the almost exclusive reliance on agency theory and the use of demographic data. Following the call for dismantling the fortresses dominating past studies, this paper contributes to opening the 'black box' of boards of directors, developing a conceptual model that considers the impact of board members' diversity, commitment and critical debate on board task effectiveness in performing its service and control tasks. We collected primary data through a questionnaire survey, and we tested the model controlling for board, firm and industry characteristics. Our findings suggest that (i) the predictors we identified, and particularly the board members' commitment, are far more important than board demographics to predict board task performance; (ii) firm and industry contexts exert a significant influence on board task performance; (iii) predictors have a different impact on specific sets of tasks. Thus, our findings support the idea that several board characteristics and contingencies at both industry and firm level must be acknowledged in board design.     

POLICY WITH DISPERSED INFORMATION

Information regarding economic fundamentals is widely dispersed in society, is only imperfectly aggregated through prices or other indicators of aggregate activity, and cannot be centralized by the government or any other institution. In this paper we seek to identify policies that can improve the decentralized use of such dispersed information without requiring the government to observe this information. We show that this can be achieved by appropriately designing the contingency of taxation on ex post public information regarding the realized fundamentals and aggregate activity. When information is common (as in the Ramsey literature) or when agents have private information only about idiosyncratic shocks (as in the Mirrlees literature), the contingency on fundamentals alone suffices for efficiency. When instead agents have private information about aggregate shocks, the contingency on aggregate activity is crucial. An appropriate combination of the two contingencies permits the government to: (i) dampen the impact of noise and hence reduce non-fundamental volatility, without also dampening the impact of fundamentals; (ii) induce agents to internalize informational externalities, and hence improve the speed of social learning; (iii) restore a certain form of constrained efficiency in the decentralized use of information; and (iv) guarantee that welfare increases with the provision of any additional information. (JEL: C72, D62, D82)     

Dynamic Global Games of Regime Change: Learning,Multiplicity, and the Timing of Attacks

Global games of regime change—coordination games of incomplete information in which a status quo is abandoned once a sufficiently large fraction of agents attack it—have been used to study crises phenomena such as currency attacks, bank runs, debt crises, and political change. We extend the static benchmark examined in the literature by allowing agents to take actions in many periods and to learn about the underlying fundamentals over time. We first provide a simple recursive algorithm for the characterization of monotone equilibria. We then show how the interaction of the knowledge that the regime survived past attacks with the arrival of information over time, or with changes in fundamentals, leads to interesting equilibrium properties. First, multiplicity may obtain under the same conditions on exogenous information that guarantee uniqueness in the static benchmark. Second, fundamentals may predict the eventual fate of the regime but not the timing or the number of attacks. Finally, equilibrium dynamics can alternate between phases of tranquility—where no attack is possible—and phases of distress—where a large attack can occur—even without changes in fundamentals.     

“Good” corporate governance and the quality of internal auditing departments in Italian listed firms. An exploratory investigation in Italian listed firms

One of the most important issue relating to corporate governance reports refers to their ability to provide users with a complete set of information regarding the effective ability of an entity to achieve oversight objectives by the compliance to corporate governance practices required by a specific law or industry code. In addition, other features, such as the quality of the internal auditing function or the sensitivity of top management to issues relating to corporate internal controls and risk management, can also be taken into account when formulating a judgment on the quality of corporate governance practices. Is there an association between the compliance to codes and internal controls effectiveness? We propose to assess the quality of corporate governance through a proxy that considers several characteristics of internal audit departments and combines them to determine an Internal Audit Departments global quality index—IAD Index. To define IAD global quality we consider the effectiveness of an internal audit function analysing its operational aspects. The IAD Index is based on several signalling elements that previous literature assumed as proxies for quality of IADs which are grouped into four pillars: a formal quality index; a static quality index; an activity-related quality index; and a performance-linked quality index. We then test the IAD index on a sample of Italian listed firms and conclude that there are significant associations (positive and negative) between the degree of compliance to some corporate governance regulations for listed firms and the IAD Index for the sample being considered.     

A Probabilistic Methodology for the Assessment of Safety from Dropped Loads in Offshore Engineering

Pipeline damage by dropped objects from crane activities is a significant hazard for offshore platform installations. In this paper a probabilistic methodology is utilized for the estimation of the pipeline impact and rupture frequencies; this information is obtained both for the overall pipeline section exposed to the hazard and for a number of critical locations along the pipeline route. The presented algorithm has been implemented in a computer program that allows the analysis of a large number of possible drop points and pipeline target point locations. This methodology may be used in common risk analysis studies for evaluating the risk for platform personnel from dropped objects; however, the proposed technique may also be useful for other applications where engineering judgment has so far been the main driving criterion. In particular, two sample cases have been analyzed. The first one is the problem of selecting the best approaching route to a platform. By analyzing different route alternatives, a reduction of the impact frequency and therefore of the risk for the platform personnel may be achieved. The second application deals with the selection of the location for a safety valve at the riser base. The analysis may give useful information, such as the highest impact frequency location and the rupture frequencies upstream and downstream of the valve as a function of the valve position; this information, together with the transported medium inventory upstream of the valve, may give the designer a documented and justifiable rationale for selecting the best location for the valve from a safety point of view.     

A new 'biased coin design' for the sequential allocation of two treatments

Summary.  Efron's biased coin design is a well-known randomization technique that helps to neutralize selection bias in sequential clinical trials for comparing treatments, while keeping the experiment fairly balanced. Extensions of the biased coin design have been proposed by several researchers who have focused mainly on the large sample properties of their designs. We modify Efron's procedure by introducing an adjustable biased coin design, which is more flexible than his. We compare it with other existing coin designs; in terms of balance and lack of predictability, its performance for small samples appears in many cases to be an improvement with respect to the other sequential randomized allocation procedures.     

Network influence and organizational performance: The effects of tie strength and structural equivalence

We combine theory and empirical evidence to develop and test three related claims about how ties strength and structural equivalence affect interorganizational performance similarity. First, network partners attain similar levels of performance because direct network ties facilitate information and resource sharing, and the diffusion of organizational practices. Organizations occupying similar network positions attain similar levels of performance because they face similar competitive constraints. Second, because mechanisms underlying performance similarity implied by direct network ties and similarity in network positions are different, strength of network ties and network position affect different dimensions of organizational performance. Third, we expect that tie strength will affect aspects of performance that are more likely to be influenced by processes activated by the direct contact between network partners. We expect structural equivalence to affect more strongly those aspects of organizational performance that are more directly influenced by competition. An analysis of interorganizational networks and organizational performance within a regional community of hospitals provides evidence in support of these claims. Models estimated on a sample of 8190 interorganizational dyads suggest that the effects of tie strength and structural equivalence on organizational performance are highly differentiated and contingent on specific aspects of performance. We show that these conclusions are robust with respect to a wide variety of other factors that may be responsible for performance similarity including competitive interdependence, structural homophily, and resource complementarity.     

A routine-based framework implementing workload control to address recurring disturbances

Abstract

This research focuses on responsiveness in high variety manufacturing environments. To achieve it, the article proposes to develop Dynamic Response Capabilities (DRCs) of the manufacturing system defined as the abilities to readjust the planned operating parameters of workload, capacity, and lead time, in the wake of disturbances. To inform their development, built on the Workload Control theory, a routine-based framework is proposed. The framework supports an integrated approach for the implementation of adaptive decision-making routines for workload, capacity, and lead time readjustments at different stages in the order fulfilment process. Findings from two empirical cases show the appropriateness of the framework to develop and utilise DRCs in different settings of disturbances. Results of a simulation study, with one of the case companies, also shows the effectiveness of the framework to drive performance improvements in presence of recurring disturbances leading to demand variability.